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PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
16 years 26 days ago
Active Learning for Reward Estimation in Inverse Reinforcement Learning
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
Manuel Lopes, Francisco S. Melo, Luis Montesano
CIMCA
2008
IEEE
16 years 24 days ago
LGR: The New Genetic Based Scheduler for Grid Computing Systems
—The computational grid provides a promising platform for the deployment of various high-performance computing applications. In computational grid, an efficient scheduling of tas...
Leili Mohammad Khanli, Seyad Naser Razavi, Nima Ja...
CIMCA
2008
IEEE
16 years 24 days ago
Connector-Driven Gradual and Dynamic Software Assembly Evolution
Complex and long-lived software need to be upgraded at runtime. Replacing a software component with a newer version is the basic evolution operation that has to be supported. It i...
Huaxi (Yulin) Zhang, Christelle Urtado, Sylvain Va...
CEC
2007
IEEE
16 years 20 days ago
Multi-population competitive co-evolution of car racing controllers
Abstract— Multi-population competitive co-evolution is explored as a way of developing controllers for a simple (but definitely not trivial) car racing game. The three main uses...
Julian Togelius, Peter Burrow, Simon M. Lucas
ATAL
2007
Springer
16 years 15 days ago
Agent-based model of impact of socioeconomic stressors: a dynamic network perspective
We have developed an agent-based simulation model based on a real case study in the Sekhukhune district of the Limpopo province in South Africa. The work reported here is part of ...
Shah Jamal Alam, Ruth Meyer, Emma Norling